Inductive Logic Programming

27th International Conference, ILP 2017, Orléans, France, September 4-6, 2017, Revised Selected Papers

Autor: Nicolas Lachiche, Christel Vrain

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Editura: Springer International Publishing AG

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This book constitutes the thoroughly refereed post-conference proceedings of the 27th International...

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Autor

Nicolas Lachiche, Christel Vrain

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2018

Pagini

185

EAN

9783319780894

ISBN

3319780891

Enbook ID

19012782

Editura

Springer International Publishing AG

Greutate

454

Dimensiuni

155 x 235 x 10

Descriere completă

This book constitutes the thoroughly refereed post-conference proceedings of the 27th International Conference on Inductive Logic Programming, ILP 2017, held in Orléans, France, in September 2017. The 12 full papers presented were carefully reviewed and selected from numerous submissions. Inductive Logic Programming (ILP) is a subfield of machine learning, which originally relied on logic programming as a uniform representation language for expressing examples, background knowledge and hypotheses. Due to its strong representation formalism, based on first-order logic, ILP provides an excellent means for multi-relational learning and data mining, and more generally for learning from structured data.

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Inductive Logic Programming

27th International Conference, ILP 2017, Orléans, France, September 4-6, 2017, Revised Selected Papers

Informații despre carte

Descriere completă

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